Adaptive Hybrid Control for Noise Rejection - 5 Angebote vergleichen

Bester Preis: 32,31 (vom 02.11.2017)
1
9783659761898 - Aman Ganesh: Adaptive Hybrid Control for Noise Rejection
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Aman Ganesh

Adaptive Hybrid Control for Noise Rejection (2017)

Lieferung erfolgt aus/von: Deutschland DE PB NW

ISBN: 9783659761898 bzw. 3659761893, in Deutsch, LAP Lambert Academic Publishing Sep 2017, Taschenbuch, neu.

Lieferung aus: Deutschland, Versandkostenfrei.
Von Händler/Antiquariat, AHA-BUCH GmbH [51283250], Einbeck, Germany.
Neuware - Adaptive control has become one of the fastest growing technologies in the world since the beginning of the computer era. The identification of adaptive controllers for practical systems is desired for better control. It provides an improved system response. Conventional PID controllers are tuned for fixed operating conditions. With the change in operating conditions or in presence of noise, the controller gives ambiguous results/ response. Under such conditions, adaptive controller plays a vital role. A number of models have been suggested for adaptive control. In the present work, a predictive neural network is used for noise rejection. In the first part, in order to provide adaptation, the neural network interpolates among the process output and the noise power present in a training set and the optimum system response is achieved. In the second part, a genetic algorithm in integration with the adaptive neurocontroller (ANC) is used to determine the weights and biases of the neural network for better results. The performance of these two approaches has been evaluated using data of different plants on a common set of performance indices. 80 pp. Englisch.
2
9783659761898 - Aman Ganesh: Adaptive Hybrid Control for Noise Rejection
Symbolbild
Aman Ganesh

Adaptive Hybrid Control for Noise Rejection

Lieferung erfolgt aus/von: Deutschland DE PB NW

ISBN: 9783659761898 bzw. 3659761893, in Deutsch, LAP Lambert Academic Publishing, Taschenbuch, neu.

Lieferung aus: Deutschland, Versandkostenfrei.
Von Händler/Antiquariat, Agrios-Buch [57449362], Bergisch Gladbach, Germany.
Neuware - Adaptive control has become one of the fastest growing technologies in the world since the beginning of the computer era. The identification of adaptive controllers for practical systems is desired for better control. It provides an improved system response. Conventional PID controllers are tuned for fixed operating conditions. With the change in operating conditions or in presence of noise, the controller gives ambiguous results/ response. Under such conditions, adaptive controller plays a vital role. A number of models have been suggested for adaptive control. In the present work, a predictive neural network is used for noise rejection. In the first part, in order to provide adaptation, the neural network interpolates among the process output and the noise power present in a training set and the optimum system response is achieved. In the second part, a genetic algorithm in integration with the adaptive neurocontroller (ANC) is used to determine the weights and biases of the neural network for better results. The performance of these two approaches has been evaluated using data of different plants on a common set of performance indices. 80 pp. Englisch.
3
9783659761898 - Aman Ganesh: Adaptive Hybrid Control for Noise Rejection
Symbolbild
Aman Ganesh

Adaptive Hybrid Control for Noise Rejection

Lieferung erfolgt aus/von: Deutschland DE PB NW

ISBN: 9783659761898 bzw. 3659761893, in Deutsch, 80 Seiten, LAP Lambert Academic Publishing, Taschenbuch, neu.

Lieferung aus: Deutschland, Versandkosten nach: Deutschland, Versandkostenfrei.
Von Händler/Antiquariat, Mein Buchshop, [4021159].
Neuware - Adaptive control has become one of the fastest growing technologies in the world since the beginning of the computer era. The identification of adaptive controllers for practical systems is desired for better control. It provides an improved system response. Conventional PID controllers are tuned for fixed operating conditions. With the change in operating conditions or in presence of noise, the controller gives ambiguous results/ response. Under such conditions, adaptive controller plays a vital role. A number of models have been suggested for adaptive control. In the present work, a predictive neural network is used for noise rejection. In the first part, in order to provide adaptation, the neural network interpolates among the process output and the noise power present in a training set and the optimum system response is achieved. In the second part, a genetic algorithm in integration with the adaptive neurocontroller (ANC) is used to determine the weights and biases of the neural network for better results. The performance of these two approaches has been evaluated using data of different plants on a common set of performance indices. Taschenbuch, Neuware, 220x150x mm, 80, Internationaler Versand, PayPal, offene Rechnung, Banküberweisung.
4
9783659761898 - Aman Ganesh: Adaptive Hybrid Control for Noise Rejection
Symbolbild
Aman Ganesh

Adaptive Hybrid Control for Noise Rejection

Lieferung erfolgt aus/von: Deutschland DE PB NW

ISBN: 9783659761898 bzw. 3659761893, in Deutsch, 80 Seiten, LAP Lambert Academic Publishing, Taschenbuch, neu.

Lieferung aus: Deutschland, Versandkosten nach: Deutschland, Versandkostenfrei.
Von Händler/Antiquariat, AHA-BUCH GmbH, [4009276].
Neuware - Adaptive control has become one of the fastest growing technologies in the world since the beginning of the computer era. The identification of adaptive controllers for practical systems is desired for better control. It provides an improved system response. Conventional PID controllers are tuned for fixed operating conditions. With the change in operating conditions or in presence of noise, the controller gives ambiguous results/ response. Under such conditions, adaptive controller plays a vital role. A number of models have been suggested for adaptive control. In the present work, a predictive neural network is used for noise rejection. In the first part, in order to provide adaptation, the neural network interpolates among the process output and the noise power present in a training set and the optimum system response is achieved. In the second part, a genetic algorithm in integration with the adaptive neurocontroller (ANC) is used to determine the weights and biases of the neural network for better results. The performance of these two approaches has been evaluated using data of different plants on a common set of performance indices. -, Taschenbuch, Neuware, 220x150x mm, 80, Internationaler Versand, PayPal, Kreditkarte, offene Rechnung, Banküberweisung, offene Rechnung (Vorkasse vorbehalten).
5
9783659761898 - Aman Ganesh: Adaptive Hybrid Control for Noise Rejection
Aman Ganesh

Adaptive Hybrid Control for Noise Rejection (2017)

Lieferung erfolgt aus/von: Deutschland EN PB NW

ISBN: 9783659761898 bzw. 3659761893, in Englisch, 80 Seiten, LAP LAMBERT Academic Publishing, Taschenbuch, neu.

Lieferung aus: Deutschland, Versandfertig in 1 - 2 Werktagen, Versandkostenfrei. Tatsächliche Versandkosten können abweichen.
Von Händler/Antiquariat, expressbuch24.
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